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Manager Ai Safety Jobs (NOW HIRING)

OpenAI

Software Engineer, AI Safety

San Francisco, CA · On-site

$185K - $325K/yr

You possess strong project management skills. You are self-directed and can remove roadblocks to ... AI is an extremely powerful tool that must be created with safety and human needs at its core, and ...

FAR.AI

$158K - $204K/yr

Our mission is to facilitate breakthrough AI safety research, advance global understanding of AI ... About the Role We are looking for Technical Program Managers to define programs for both our ...

Cohere

Product Manager, Safety & Security

New York, NY · On-site

We build cutting-edge foundation AI models and end-to-end products that are designed to solve real ... safety risk before launch. Requirements * 5+ years of product management or research operations ...

onsemi

Sr. Manager AI & Data Science

Scottsdale, AZ · On-site

Sr. Manager AI & Data Science We are seeking a visionary and technically strong Senior Manager of ... ensuring AI safety, and shaping workflows using tools like LangGraph, Azure Machine Learning ...

onsemi

Sr. Manager AI & Data Science

Scottsdale, AZ · On-site

Sr. Manager AI & Data Science We are seeking a visionary and technically strong Senior Manager of ... ensuring AI safety, and shaping workflows using tools like LangGraph, Azure Machine Learning ...

NTT DATA

AI Product Manager

Jersey City, NJ · On-site

... innovative AI products while ensuring safety and reliability in production environments ... management, and deployment systems • Conduct user research and translate production challenges ...

NTT DATA North America

AI Product Manager

Dallas, TX · On-site

... AI safety, governance, reliability, and fallback strategies • Define and monitor KPIs such as ... product management and best practices Qualifications : Required : • Bachelor's degree in ...

FAR.AI

Senior Programs & Strategy Manager

Labs, an AI safety-focused co-working space in Berkeley, housing 40 members, as well as support the ... As a Senior Programs & Strategy Manager, you will be the person who ensures that every event we run ...

Alaska Airlines

Manager, AI

Seattle, WA

$149K - $224K/yr

Role Summary The Manager, AI is responsible for executing strategy for the development and ... Job-Specific Leadership Expectations Embody our values to own safety, do the right thing, be caring ...

Alaska Airlines

Manager, AI

Seatac, WA · On-site

$149K - $224K/yr

The Manager, AI is responsible for executing strategy for the development and deployment of AI and ... Embody our values to own safety, do the right thing, be caring and kind, and deliver performance ...

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How much do manager ai safety jobs pay per year?

As of Aug 9, 2026, the average yearly pay for manager ai safety in the United States is $85,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,500.00 and $102,500.00 per year, depending on experience, location, and employer.

What is a Manager AI Safety?

Manager AI Safety roles involve overseeing teams and projects that ensure artificial intelligence systems are safe, ethical, and aligned with organizational and societal values. Managers in this field coordinate research, implement safety protocols, and ensure compliance with regulations and industry standards. They often collaborate with data scientists, engineers, and policy experts to identify risks and develop strategies to mitigate them. Additionally, they may be responsible for educating stakeholders about AI safety and leading incident response when issues arise.

What is the difference between Manager Ai Safety vs Data Scientist?

AspectManager Ai SafetyData Scientist
Required CredentialsBachelor's or master's in AI, Computer Science, or related fields; experience in AI safetyBachelor's or master's in Data Science, Statistics, or related fields; programming skills
Work EnvironmentFocus on AI safety protocols, risk mitigation, cross-team collaborationData analysis, model development, statistical modeling
Industry UsageTech companies, AI research labs, organizations focusing on safe AI deploymentTech firms, research institutions, data-driven industries

The main difference is that Manager Ai Safety oversees AI safety initiatives, risk management, and team coordination, while Data Scientists focus on analyzing data, building models, and deriving insights. Both roles require technical expertise, but their focus areas and responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a Manager AI Safety, and why are they important?

To thrive as a Manager AI Safety, you need a strong background in computer science, machine learning, risk assessment, and ideally an advanced degree in a relevant field. Familiarity with AI safety frameworks, programming languages like Python, and tools such as TensorFlow or PyTorch, as well as understanding of compliance standards, is typically required. Excellent leadership, communication, and critical thinking skills help you guide teams and clearly articulate complex technical risks to stakeholders. These competencies are crucial for ensuring the development and deployment of safe, ethical AI systems that align with organizational and societal values.

What are some common challenges faced by a Manager AI Safety, and how can they be addressed?

One common challenge for a Manager in AI Safety is balancing the rapid pace of AI development with the need to implement thorough safety protocols and risk assessments. This often requires close collaboration with cross-functional teams, including researchers, engineers, and legal experts, to ensure that safety considerations are integrated at every stage of a project. Additionally, staying current with evolving regulations and ethical standards can be demanding, so continuous learning and fostering a culture of open communication are essential. Proactively addressing these challenges helps ensure responsible AI deployment and long-term career growth in this emerging field.
More about Manager Ai Safety jobs
What cities are hiring for Manager Ai Safety jobs? Cities with the most Manager Ai Safety job openings:
What are the most commonly searched types of Ai Safety jobs? The most popular types of Ai Safety jobs are:
What states have the most Manager Ai Safety jobs? States with the most job openings for Manager Ai Safety jobs include:
What job categories do people searching Manager Ai Safety jobs look for? The top searched job categories for Manager Ai Safety jobs are:
Manager Ai Safety jobs near you
Infographic showing various Manager Ai Safety job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, 2% Contract, and 1% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $85,971 per year, or $41.3 per hour.

AI Safety and Responsible AI Lead

NTT DATA Services

Jersey City, NJ • On-site

Temporary

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

NTT Data rating

7.4

Company rating: 7.4 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

117th of 223 rated it services

Job description

Req ID: 382100
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a AI Safety and Responsible AI Lead to join our team in Jersey City, New Jersey (US-NJ), United States (US).
AI Safety & Responsible AI Lead
Responsible AI / AI Governance / Model Risk / Ethical AI
Role purpose
Define and operationalize Responsible AI practices across the AI lifecycle for AIRP and enterprise citizen-development initiatives. The role ensures AI systems are safe, fair, explainable, transparent, compliant, monitored, and aligned with enterprise values, model risk, legal, compliance, data governance, cybersecurity, and audit expectations.
Client-specific emphasis
  • The organization is aiming to democratize AI responsibly; this role must support enterprise AI plus citizen development through Microsoft Power Platform, Copilot Studio, Power Apps, Power Automate, and Power BI.
  • Governance must be practical enough to support business AI use cases while satisfying banking, model risk, security, privacy, and audit controls.
  • The candidate should be able to govern high-risk workflows such as KYC, credit underwriting, financial crime, and sanctions screening.

Primary ownership
  • Responsible AI policy, control framework, risk taxonomy, governance workflows, and production-readiness criteria for AIRP and citizen AI use cases.
  • AI risk assessments, impact assessments, safety evaluations, model-risk alignment, and post-production monitoring standards.
  • Cross-functional alignment across engineering, product, legal, compliance, model risk, audit, cybersecurity, data governance, and citizen-development enablement teams.

Key responsibilities
  • Define Responsible AI standards, policies, procedures, risk-classification methods, and operating models for AI and GenAI initiatives.
  • Establish governance processes for use-case intake, risk assessment, model review, approval workflows, deployment readiness, ongoing monitoring, and issue escalation.
  • Develop safety and evaluation frameworks covering fairness, bias, explainability, transparency, robustness, privacy, hallucination, harmful outputs, human oversight, and overreliance.
  • Define guardrail requirements for LLMs, RAG systems, agentic workflows, high-risk banking applications, and citizen-development solutions.
  • Partner with model risk, legal, compliance, data governance, cybersecurity, audit, product, engineering, and business teams to align AI controls with enterprise expectations.
  • Lead AI impact assessments, risk reviews, control assessments, readiness reviews, remediation planning, and AI incident escalation processes.
  • Establish metrics and monitoring for bias indicators, safety violations, explainability gaps, harmful outputs, hallucination trends, user feedback, and behavior drift.
  • Create governance playbooks and reusable control evidence for AIRP use cases and Power Platform / Copilot Studio citizen-development workflows.

Must-have candidate profile
  • Deep understanding of Responsible AI, AI ethics, model governance, model risk, explainability, fairness, privacy, safety, and enterprise risk management.
  • Experience implementing AI governance or Responsible AI controls in production or enterprise environments.
  • Understanding of LLM-specific risks such as hallucination, bias, toxicity, prompt injection, data leakage, overreliance, unsafe automation, and human oversight gaps.
  • Ability to translate policy and regulatory expectations into practical product, engineering, operating, and audit controls.
  • Experience working with cross-functional risk, compliance, legal, security, data, audit, product, and engineering stakeholders.
  • Ability to define controls that scale across centralized AI platforms and distributed citizen-development adoption.

Preferred experience
  • Experience in banking, insurance, fintech, consulting, regulatory risk, model risk management, technology governance, or data governance.
  • Experience building AI risk taxonomies, control libraries, governance operating models, Responsible AI playbooks, or model-risk-aligned review processes.
  • Familiarity with Power Platform, Microsoft Copilot Studio, Power Apps, Power Automate, Power BI, global AI governance frameworks, model validation practices, privacy regulation, and audit expectations.

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role will depend on the nature of the role offered and will either be [$155,700 - $259,500], if the role is hired as a temporary position. Actual compensation will depend on a number of factors, including the candidate's relevant experience, technical skills, and other qualifications.
This position may also be eligible for incentive compensation based on individual and/or company performance. If the position offered in temporary, the position will not be eligible for incentive compensation.
This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.
About NTT DATA
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

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About NTT DATA

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NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967

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